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基于边缘特征的亚像素相关匹配跟踪算法
引用本文:刘倩,闫宇壮,黄新生.基于边缘特征的亚像素相关匹配跟踪算法[J].计算机工程,2011,37(15):201-202,211.
作者姓名:刘倩  闫宇壮  黄新生
作者单位:国防科学技术大学机电工程与自动化学院,长沙,410073
摘    要:基于像素灰度和基于特征的相关匹配跟踪算法跟踪精度不高,只能匹配定位到整像素点。针对该问题,采用相关函数拟合极值法对整像素匹配点进行亚像素定位。设计一种新的实验方法和基于边缘特征的相关匹配跟踪算法。实验结果表明,该算法可以达到0.1级别的亚像素定位精度。

关 键 词:亚像素定位  边缘提取  边缘相关匹配  相关函数拟合极值法  匹配跟踪
收稿时间:2011-01-14

Subpixel Correlation Matching Tracking Algorithm Based on Edge Feature
LIU Qian,YAN Yu-zhuang,HUANG Xin-sheng.Subpixel Correlation Matching Tracking Algorithm Based on Edge Feature[J].Computer Engineering,2011,37(15):201-202,211.
Authors:LIU Qian  YAN Yu-zhuang  HUANG Xin-sheng
Affiliation:(College of Mechatronics Engineering and Automation,National University of Defense Technology,Changsha 410073,China)
Abstract:Correlation matching tracking algorithm based on pixel gray and character is commonly used. The algorithm based on edge feature is a research hotspot because of its advantages for application. However, this kind of algorithm can just locate to integer pixel for its low tracking precision. A method based on the quadratic surface fitting is selected for subpixel matching through analysis and comparison. A new experiment is designed to show that this algorithm gets as high as 0. 1 level of pixel location precision.
Keywords:subpixel orientation  edge extraction  edge correlation matching  correlation function fitting extreme method  matching tracking
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